The traditional float vector based image feature is the base of content based image retrieval techniques.
传统的以浮点矢量形式表示的图像特征，是基于内容的图像检索技术的基础。
Content based image retrieval techniques usually use the color histogram of the full image. But this method can't contain the spatial features.
基于内容的图象检索技术一般采用颜色直方图为特征，但是这种方法不能反映空间特性。
The main features used for image retrieval are color, texture and shape. This thesis looks into image retrieval techniques based on color and texture.
基于内容的图像检索技术主要利用图像的颜色、纹理和形状特征对图像进行检索，论文重点研究基于颜色和纹理特征的图像检索技术。
And based on this, this paper discusses on the similarity measuring and corresponding image retrieval techniques, and gives the evaluation on the test results and the image retrieval performance.
在此基础上，讨论了图像的相似度量以及相应的图像检索技术，并给出了实验结果和图像检索性能的评价。
Therefore, content-based image retrieval techniques have emerged, and it become hot in the field of image retrieval research.
因此，基于内容的图像检索技术就应运而生，并逐渐地成为图像检索领域的研究热点。
Therefore, content-based image retrieval techniques have emerged, and it become hot in the field of image retrieval research.
因此，基于内容的图像检索技术就应运而生，并逐渐地成为图像检索领域的研究热点。
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